This anomaly detection course using AI teaches you how to identify unusual patterns or outliers in large datasets, which can be crucial for fraud detection, predictive maintenance, medical diagnosis, and other applications. You'll learn about various AI techniques like machine learning and deep learning, and how to apply them to real-world problems. This knowledge is highly valuable in today's data-driven world and can significantly boost your career prospects in fields like data science, cybersecurity, and finance.
This intensive 5-day program will provide participants with a comprehensive understanding of anomaly detection techniques using Artificial Intelligence (AI). We will explore the fundamental concepts, explore various AI algorithms, and delve into real-world applications across different domains.
Upon the successful completion of this course, each participant will be able to:
This course is designed for Data scientists, machine learning engineers, researchers, and professionals interested in applying AI for anomaly detection in their respective fields.
DAY 1
Registration, Welcome & Introduction
Pre-Test
Introduction to Anomaly Detection
√ Types of anomalies: point, contextual, collective
√ Real-world relevance and impact (e.g., fraud, intrusion, system failures)
√ Traditional vs AI-driven approaches
DAY 2
Machine Learning Techniques for Anomaly Detection
√ Clustering (k-Means, DBSCAN)
√ Isolation Forests
√ One-Class SVM
DAY 3
Deep Learning for Anomaly Detection
DAY 4
Applications Across Industries
DAY 5
Ethics, Interpretability, and Future Outlook
Post-Test
End of the CourseFacilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.
Percentages of the total course hour classification are:
At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.